DIFFERENCES IN HOSPICE AND NONHOSPICE NURSES’ PERSONAL AND PROFESSIONAL CHARACTERISTICS

Abstract The overextension of nurses due to an aging population, increase in chronic conditions, and the COVID-19 pandemic, places them at risk of negative outcomes. However, less is known about how hospice nurses compare to nurses in other subfields in terms of professional quality of life or factors that may potentially protect against adverse consequences of caregiving. Therefore, this study investigated differences between hospice and non-hospice nurses across several factors, including the work environment, self-awareness (SA), psychological flexibility (PF), palliative care self-efficacy (SE), and three components of professional quality of life – compassion satisfaction (CS), burnout, and secondary traumatic stress (STS). Using a cross-sectional, exploratory, and quantitative design, participants were sampled through snowball and convenience techniques. Participants (N= 72) completed an online survey, 31 (43%) identifying as working in hospice and 41 (57%) as working in non-hospice settings. Independent samples t-tests were conducted. Hospice nurses reported significantly healthier work environments, higher levels of SA, SE, and CS, and lower levels of burnout than non-hospice nurses. However, there was no significant difference in PF or STS. These findings offer a novel comparison between hospice and non-hospice nurses that could inform workplace change to better support nurses as they face increased demands and increased risk for negative outcome.

Aim 2, significant main effects for time emerged, suggesting that participants' well-being improved regardless of their treatment group.Income level was also a consistent predictor of well-being, demonstrating disparities in chronic pain.The impact of small sample size, COVID-19, and methodological limitations will be discussed.Future research plans and recommendations will also be provided.

DIABETES OCCURRENCE, RISK FACTORS, AND LIFESTYLE PATTERNS IN OLDER ADULTS ATTENDING SENIOR CENTERS
Laurie Ruggiero, Elizabeth Orsega-Smith, and Sophia Kayatta, University of Delaware, Newark, Delaware, United States Diabetes risk and rates increase across age with prevalence rates of diagnosed diabetes of 24% and estimated pre-diabetes rates of 49% in adults 65 or older (2017-2020;CDC, 2020) underscoring the importance of understanding diabetes risk factors and lifestyle behaviors in older adults.Senior centers offer a unique opportunity to reach older adults to deliver health promotion interventions.The study purpose was to examine diabetes/pre-diabetes occurrence, risk factors, lifestyle behaviors, and preferences for promoting healthy lifestyles to reduce diabetes risk in older adults (>60).An anonymous cross-sectional self-report survey was administered in senior centers.It included questions regarding occurrence of diabetes, diabetes risk factors, and hypertension; self-reported health status; lifestyle behavior patterns; cognitive function; and social engagement.Open-ended questions obtained information on diabetes risk awareness and preferences for healthy lifestyle interventions delivered in senior centers.The sample included 159 adults: average age of 76 years (range: 60-96), 77% female, 83% White, and 14% African American.Reported health related patterns include: 89% rated health as goodexcellent; 74% were at high risk for pre-diabetes; 64% had hypertension; and 20% were told by provider of diabetes and 32% pre-diabetes.Reported lifestyle patterns included: 73% get regular physical activity, 53% eat 5 daily fruits/ vegetables, 7% smoke, and average 7 hours of sleep/night.The large proportion at high risk for pre-diabetes underscores the importance of focusing on diabetes prevention in older adults and potential for delivering healthy lifestyle interventions in senior centers.Presentation will describe the quantitative and qualitative results and implications for lifestyle interventions.

DIFFERENCES IN HOSPICE AND NONHOSPICE NURSES' PERSONAL AND PROFESSIONAL CHARACTERISTICS
Janie Taylor, and Renee' Zucchero, Xavier University, Cincinnati, Ohio, United States The overextension of nurses due to an aging population, increase in chronic conditions, and the COVID-19 pandemic, places them at risk of negative outcomes.However, less is known about how hospice nurses compare to nurses in other subfields in terms of professional quality of life or factors that may potentially protect against adverse consequences of caregiving.Therefore, this study investigated differences between hospice and non-hospice nurses across several factors, including the work environment, self-awareness (SA), psychological flexibility (PF), palliative care self-efficacy (SE), and three components of professional quality of life -compassion satisfaction (CS), burnout, and secondary traumatic stress (STS).Using a cross-sectional, exploratory, and quantitative design, participants were sampled through snowball and convenience techniques.Participants (N= 72) completed an online survey, 31 (43%) identifying as working in hospice and 41 (57%) as working in non-hospice settings.Independent samples t-tests were conducted.Hospice nurses reported significantly healthier work environments, higher levels of SA, SE, and CS, and lower levels of burnout than non-hospice nurses.However, there was no significant difference in PF or STS.These findings offer a novel comparison between hospice and nonhospice nurses that could inform workplace change to better support nurses as they face increased demands and increased risk for negative outcome.This study aimed to investigate the differences in pain sensation and gut microbiota between young and older adults.Twenty-one healthy young adults (YAs) and sixteen healthy older adults (OAs) were recruited.Quantitative sensory testing data, and stool samples were collected.The 16S rRNA V4 gene region of stool samples were sequenced and processed by using the Mothur 1.42.3 pipeline.The mean ages of YAs and OAs were 20.14 (SD = 1.39) and 63.19 (SD = 8.00), respectively.Eleven of the YAs and 12 of the OAs were female, and 8 of the YAs and 3 of the OAs reported pain.OAs had significantly higher heat pain threshold (HPT), higher pressure pain threshold (PPT), lower cold detection threshold (CDT), and lower cold pain threshold (CPT) than YAs (all p < 0.05).OAs had significantly different a-diversity indices including higher species of observed (Sobs), Chao index and Shannon index, and lower coverage, and significantly different beta diversity indices (Bray-Curtis, Jaccard, and Theta YC) than YAs.The significantly abundant taxa in YAs included Bacteroidaceae, Veillonellaceae, and Alcaligenaceae.Coriobacteriaceae, Streptococcaceae, Lachnospiraceae, Erysipelotrichaceae, and Verrucomicrobiaceae were significantly enriched in OAs.The Spearman correlation analysis showed that the CDT, CPT, and HPT were significantly associated with gut microbiota Sobs, Chao index, Shannon index, and coverage (all p < 0.05).But the directions and coefficients of correlations varied.OAs had distinguished peripheral sensation and gut microbiota profiles than YAs.The changed peripheral sensation and gut microbiota profiles among OAs may be biomarkers of aging-related pain processing.

OLDER ADULT PERCEPTIONS OF USING IOT TO SUPPORT MEDICATION ADHERENCE AND COMBAT PHYSICAL INACTIVITY
Yong Kyung Choi 1 , Shih-Yin Lin 2 , Hilaire Thompson 3 , and George Demiris 4 , 1. University of Pittsburgh, Pittsburgh, Pennsylvania, United States, 2. NYU Rory Meyers College of Nursing, New York City, New York, United States, 3. University of Washington, Seattle, Washington, United States, 4. University of Pennsylvania, Philadelphia, Pennsylvania, United States The literature has explored the potential of using the Internet of Things (IoT) to support aging in place, but less is known about its ability to motivate older adults for health behavior change.This study aimed to understand older adults' perception of using IoT to promote medication adherence and combat physical inactivity.We conducted a qualitative secondary analysis of exit interviews of 22 older adults (78% female; mean age: 77.8) who participated in an IoT feasibility evaluation study.In the feasibility study, older adults were asked to choose any combination of the following IoT devices, a door/window sensor, a multi-sensor (motion, light, humidity, temperature), an IP web camera, and a smart speaker, to be installed in their home for 2 months.Thematic analysis revealed that older adults identified creative uses of smart speakers to 1) update, log, and share medication lists/ usage and physical activities; 2) set up medication and exercise reminders; 3) support diabetes self-management -taking the guesswork out of the equation (e.g., continuous blood glucose monitoring combined with a smart speaker to recommend the appropriate insulin dosage); 4) read out loud small-print medication labels (when also linked to a smart camera); 5) verbally direct older adults to reach their medications; 6) provide warnings to get up and move when prolonged inactivity is detected by the motion sensor; and 7) bring up music/video for exercise, or serve as a virtual exercise coach.In summary, older adults are receptive to using IoTs to promote medication adherence and reduce physical inactivity.

PLANNING AHEAD FOR POSTHOSPITALIZATION DISCHARGE NEEDS AMONG OLDER ADULTS
Raven Relerford, Amber Miller-Winder, Allie Schierer, Charles Olvera, Alaine Murawski, Vanessa Ramirez-Zohfeld, and Lee A Lindquist, Northwestern University, Chicago, Illinois, United States Frequently hospitalized older adults require assistance at discharge -either with transfer to a skilled nursing facility (SNF) or additional support at home.Our research has demonstrated that older adults can effectively plan ahead for their discharge needs (e.g., selecting SNFs) prior to hospitalization but some chose not to.Very little is known about what motivates older adults to plan.We sought to identify what variables impact older adults' post-hospitalization planning.We surveyed a cohort of non-hospitalized adults age 65+ who received PlanYourLifespan.org(PYL), a tool to help older adults plan for their post-hospitalization needs, and then completed follow-up surveys at one month and every 6 months thereafter.Surveys inquire about their post-discharge plans if they were to be hospitalized, specifically rehabilitation/caregiver